Carried Object Detection using Star Skeleton with Adaptive Centroid and Time Series Graph

摘要：

In this paper, we introduce a novel method to detect a carried object seen from a stationary camera using human body silhouette feature information. We use star skeletonization technique with the adaptive centroid point to extract human feature. The carried object is classified using time series of motions of the extracted skeleton limbs. The boundary of the carried object is figured from carried objects track points and adjacent sink curves of contour. The method is able to detect and track carried object such as a luggage and a backpack. Moreover, we also achieve the detection of leaving luggage event. We perform experiments using some data from TRECVID dataset and manually captured data.

关键词： carried object star skeleton adaptive centroid time series

作者: Rawin Chayanurak Nagul Cooharojananone Shinichi Satoh Rajalida Lipikorn

作者单位: Department of Mathematics, Faculty of Science, Chulalongkorn University, Bangkok 10330, Thailand National Institute of Informatics 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo, Japan 101-8430

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 736-739

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）